Paper Citation Record · LEDGER

Improving Disentangled Representation Learning with the Beta Bernoulli Process

As of 15 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:1909.01839.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1909.01839 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:27:24.364641Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation f50d9077-3e96-4c04-b205-ab791fa84fe7 · outbound

This paper cites Interpretability of deep learning models: a survey of results,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Interpretability of deep learning models: a survey of results,

Reference 1

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Observation 70da9fe6-ce86-41c0-888f-e3a5eb8cb939 · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 2

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This paper cites Isolating sources of disentanglement in variational autoencoders,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Isolating sources of disentanglement in variational autoencoders,

Reference 3

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Observation 3bd2df94-bbb2-411f-8d24-ac4e0c7cc385 · outbound

This paper cites Disentangling by factorising,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Disentangling by factorising,

Reference 4

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Observation 81b477d2-6405-4e63-b3a2-f06c93f755ba · outbound

This paper cites Variational Inference of Disentangled Latent Concepts from Unlabeled Observations.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Variational Inference of Disentangled Latent Concepts from Unlabeled Observations

Reference 5

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Observation 9c9dfb70-fa16-47f0-8480-99305b7e09e0 · outbound

This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Infogan: Interpretable representation learning by information maximizing generative adversarial nets,

Reference 6

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This paper cites Auto-encoding variational bayes,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Auto-encoding variational bayes,

Reference 7

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This paper cites Stochastic backpropagation and approximate inference in deep gen- erative models,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Stochastic backpropagation and approximate inference in deep gen- erative models,

Reference 8

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This paper cites V AE with a vampprior,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process V AE with a vampprior,

Reference 9

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This paper cites Improved variational inference with in- verse autoregressive ﬂow,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Improved variational inference with in- verse autoregressive ﬂow,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:27:24.913122Z

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Observation dab1427b-aa0f-4551-a90e-a08351bc8663 · outbound

This paper cites The indian buffet process: An introduction and review,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process The indian buffet process: An introduction and review,

Reference 11

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Observation 7cffc6b4-1f75-4f72-adcc-672bf7c33b94 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Gradient-based learning applied to document recognition,

Reference 12

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This paper cites Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models,

Reference 13

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This paper cites dsprites: Disentanglement testing sprites dataset,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process dsprites: Disentanglement testing sprites dataset,

Reference 14

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This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

Improving Disentangled Representation Learning with the Beta Bernoulli Process Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 15

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Unresolved cited work

Reference 16

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Observation 286d4e00-d3c3-47f1-9622-28fc969500f5 · outbound

This paper cites Real-time localization of ventricular tachycardia origin from the 12-lead electrocardiogram,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Real-time localization of ventricular tachycardia origin from the 12-lead electrocardiogram,

Reference 17

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Observation 78c4240e-395b-4eb5-a09a-922024ef54ab · outbound

This paper cites Gen- erative adversarial nets,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Gen- erative adversarial nets,

Reference 18

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This paper cites Elbo surgery: yet another way to carve up the variational evidence lower bound,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Elbo surgery: yet another way to carve up the variational evidence lower bound,

Reference 19

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Fixing a broken elbo,

Reference 20

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Observation 0e2d5375-8a99-4db3-87eb-251142215df8 · outbound

This paper cites Importance Weighted Autoencoders.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Importance Weighted Autoencoders

Reference 21

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Observation 608d7c94-501c-4a3b-8dfc-00919dd9cb2a · outbound

This paper cites Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Reference 22

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Variational Lossy Autoencoder

Reference 23

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Stick-Breaking Variational Autoencoders

Reference 24

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This paper cites Nonparametric variational auto-encoders for hierarchical representation learning.,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Nonparametric variational auto-encoders for hierarchical representation learning.,

Reference 25

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This paper cites Indian Buffet Process Deep Generative Models for Semi-Supervised Classification.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Indian Buffet Process Deep Generative Models for Semi-Supervised Classification

Reference 26

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This paper cites Structured varia- tional autoencoders for the beta-bernoulli process,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Structured varia- tional autoencoders for the beta-bernoulli process,

Reference 27

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Observation 8221dba1-4324-4753-b8f4-c4d4ee8b96d8 · outbound

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Learning fair representations,

Reference 28

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Observation 9db2bcd1-f5ce-413e-ba9c-76caddcaf6be · outbound

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Improving Disentangled Representation Learning with the Beta Bernoulli Process The Variational Fair Autoencoder

Reference 29

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Observation 4d546193-b7a5-4974-91b7-7095f1bcf0f8 · outbound

This paper cites Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications

Reference 30

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Stick-breaking construction for the indian buffet process,

Reference 31

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This paper cites Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms,

Reference 32

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Observation 6a217d31-4c62-4512-b2e1-b0c5cbdfd96d · outbound

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Categorical Reparameterization with Gumbel-Softmax

Reference 33

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This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.

Improving Disentangled Representation Learning with the Beta Bernoulli Process The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables

Reference 34

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Semi-supervised learning with deep generative models,

Reference 35

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Adam: A Method for Stochastic Optimization

Reference 36

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Three-point checklist of dermoscopy,

Reference 37

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This paper cites Skin lesion analysis towards melanoma detection using deep learning network,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Skin lesion analysis towards melanoma detection using deep learning network,

Reference 38

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This paper cites One weird trick for parallelizing convolutional neural networks.

Improving Disentangled Representation Learning with the Beta Bernoulli Process One weird trick for parallelizing convolutional neural networks

Reference 39

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Generating sentences from a continuous space,

Reference 40

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Improving Disentangled Representation Learning with the Beta Bernoulli Process Unresolved cited work

Reference 41

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Observation 1cc59256-1d61-4567-a9d4-3475f41b6cf6 · outbound

This paper cites Localization of origins of premature ventricular contraction by means of convolutional neural network from 12-lead ecg,.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Localization of origins of premature ventricular contraction by means of convolutional neural network from 12-lead ecg,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:27:24.639564Z

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Observation ef7f5ef5-08c5-4f6a-bf85-d9b9acf74c87 · outbound

This paper cites Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.

Improving Disentangled Representation Learning with the Beta Bernoulli Process Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 43

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